Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review. Authors Ayesha Afridi Faculty of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Sumaiyah Obaid Faculty of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Neha Raheel Faculty of Rehabilitation and Allied Health Sciences, Riphah International University, Islamabad, Farooq Azam Rathore Quetta Institute of Medical Sciences, Quetta, Pakistan DOI: https://doi.org/10.47391/JPMA.25-16 Abstract Rehabilitation following a stroke faces challenges inoffering customized treatment and attaining the bestpossible outcomes. The utilization of artificial intelligence(AI) presents transformative solutions that have thepotential to revolutionize existing practices. This minireviewdiscusses the use of AI in rehabilitation afterstroke, in form of customized intervention, task-specifictraining with robotics, real time monitoring by wearabledevices and remote monitoring through telerehabilitation. Despite the recent advances, issues such asalgorithm bias, concerns about data security, and accessdisparities remain. Future directions include creatingpredictive analytics for tailored stroke therapies,incorporating virtual reality for increased participation,and assuring ethical and equitable distribution.Collaborative efforts are necessary to address thesechallenges and advance AI-driven stroke therapy. Thisreview highlights the potential of AI to revolutionizestroke rehabilitation outcomes through interdisciplinarycollaboration and ethical implementation.Keywords: Artificial Intelligence, Rehabilitation, Stroke,Technology, outcomes, recent advances Downloads Full Text Article Published 2025-01-26 How to Cite Ayesha Afridi, Sumaiyah Obaid, Neha Raheel, & Farooq Azam Rathore. (2025). Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review. Journal of the Pakistan Medical Association, 75(02), 339–341. https://doi.org/10.47391/JPMA.25-16 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 75 No. 02 (2025): FEBRUARY Section REHABILITATION SCIENCES CORNER License Copyright (c) 2025 Journal of the Pakistan Medical Association This work is licensed under a Creative Commons Attribution 4.0 International License.